4.
How can you use a graph of a linear relationship to predict an unknown
value of y for a given value of x within the region of the graph?

Step-by-step explanation:

Take a look at this graph (sorry, it's small).  The graph shows three data points, (0, 1), (2, 6), and (4, 8).  The line is called the "line of best fit" or "regression line."

The equation for the line is y = 1.75x + 1.5 .

The data did not include a point for x = 3, but it can be predicted by finding the y-coordinate on the line that corresponds to x = 3.

Substituting x = 3 into the line's equation gives

y = 1.75(3) + 1.5 = 6.75

That's the predicted value of y for x = 3 given the linear relationship shown.

456567546657689765432567890-9876543567890-987657890

step-by-step explanation:

a. turk and mcalister

b. howard, mission, and market

c. yes. since streets end some do not cross yet are not parallel to others. example: mcalister and 5th

step-by-step explanation:

parallel lines are lines which do not intersect ever and look a lot like railroad tracks. turk, mcalister and golden gate are examples of these.

intersect are streets which cross each other and a car on one can reach the other. howard, mission, and market intersect with 6th.

skew lines are lines which neither intersect nor are parallel. these lines exist here because some streets end and never intersect another like mcalister and 5th.